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Evidence from Yilmana Densa Woreda View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by International Institute for Science, Technology and Education (IISTE): E-Journals Journal of Economics and Sustainable Development www.iiste.org ISSN 2222-1700 (Paper) ISSN 2222-2855 (Online) Vol.9, No.7, 2018 Determinants of Rural Household Poverty Across Agro-Ecology in Amhara Region, Ethiopia: Evidence from Yilmana Densa Woreda Birara Endalew* Kassahun Tassie College of Agriculture and Environmental Sciences, Bahir Dar University Abstract In Ethiopia, poverty eradication is the central development agenda. Studies regarding to determinants of household poverty support the poverty reduction policies to bring sustainable development. The result revealed that the poverty head count ratio (62.3%), poverty gap (18.9%) and severity (5.8%) in Yilmana Densa woreda is higher than the national and regional rate. The model result revealed that educational status, cost of agricultural inputs, agro-ecology, and land and livestock ownership, saving culture and size of rented land were negatively and significantly related with household poverty. Whereas, family size, health status and inefficient labour force utilization were positively and significantly related with household poverty. The poverty head count ratio, gap and severity of Kola agro-ecology is higher than Dega and Woina-Dega agro- ecologies. Therefore, policy makers should design poverty reduction strategies based on agro-ecology difference to bring long lasting solution to household poverty which aims to bring sustainable development. Keywords : poverty, binary logit, agro-ecology, farm household, development, sustainable 1. Introduction Even though poverty eradication is the ultimate objective of development endeavours and policies in developing countries, the problem is pervasive, intensive, chronic and largely a rural phenomenon (Muleta & Deressa, 2014). That is why the world political leaders’ rhetoric is many on poverty eradication even though the practical application faces multidimensional interests and problems (Woolcock & Narayan, 2000). The report of Rodrik (2007)indicated that rapid and sustained economic growth is critical to making faster progress for poverty reduction and improving the quality of life in developing countries which leads to human development. Similarly, Aigbokhan &Tayo (2017) explained that poverty reduction is one of the major development activities in developing countries which includes income poverty, malnutrition, mortality, illiteracy, social exclusion and vulnerability. The report of WB (2015a) on Millennium Development Goals indicated that extreme poverty has been declining in all regions of the world with the exception of Sub-Saharan Africa. In Sub-Saran Africa, poverty reduction is challenging due to multiple causes of poverty (Chen & Ravallion, 2007; Dercon, 1999). Ethiopia, the second populous country in sub-Saharan Africa next to Nigeria, is also an example of hunger and poverty for many years in the world (WB, 2005). The report of UNDP (2011) shows that Ethiopia ranks 174 th out of 187 countries based on human development index calculation, and the average per capita income of the country is less than half of the sub-Saharan average. Similarly, FAO (2010) reported that that 41% of the Ethiopian population lives below the poverty line and 31.6 million people are undernourished. According to the report of MOFED (2012), the proportion of poor people in Ethiopia is 29.6%. Although the trend of poverty is declining, still the problem is more persistent in rural Ethiopia (30.4%) as compared to urban areas (25.7%) (MOFED, 2012; Tesfaye, 2013). The study conducted by Moges (2013) reported that Ethiopia has a subsistence agriculture dominated economy and most of Ethiopians live in remote rural areas in chronic poverty. As a result, poverty reduction has been an important component of development activities which aims to trim down the prevalence of insidious poverty in the country (MOFED, 2012). To alleviate this problem, government policies could be effective and sustainable only when they are directed to address the underlying causes of poverty in the country(Moges, 2013). The low level of poverty head count ratio, gap and severity at national level is not a guarantee the intensity of poverty at household level. To bring sustainable solution for persistent poverty, policies should be designed and implemented based on empirical findings at national, regional, woreda and household level. Amhara region is the lowest in terms of asset holding among the regional states of Ethiopia (MOFED, 2002). Even though the trend of poverty headcount ratio declined from 54.3% in 1996 to 30.5% in 2011, the numbers of poor people are still high as compared to the national head count ratio (29%) (WB, 2015b). In addition to this, the highest food poverty is observed in Amhara region (42.5%) followed by Tigray (37.1%) and Benehsangul Gumuz (35.1%) (MOFED, 2012; WB, 2015b). Yilmana Densa woreda is one of the 64 chronically food insecure woredas’ of Amhara region. Different regional, national and international organizations have been working to alleviate the existence of pervasive poverty in the woreda (YDWPRO, 2016). Consequently, examining the causes of household poverty has great importance for the donors as well as the regional and national government to design and implement intervention mechanisms. The study conducted by Moges (2013) explained that the main impediments to poverty reduction in Ethiopia emerge from a complex web of interaction of economic, political, demographic, 87 Journal of Economics and Sustainable Development www.iiste.org ISSN 2222-1700 (Paper) ISSN 2222-2855 (Online) Vol.9, No.7, 2018 social, geographic and institutional factors. To design and implement intervention strategies in the study area, the possible factors affecting household poverty needs to be identified. But studies regarding to poverty measurement and determinant analysis in Yilamana Densa woreda is total nil. As a result, this study was conducted to measure household poverty across agro-ecological zones using Cost of Basic Needs approach, to evaluate the level of household poverty using Foster Greer Thorbeck model and to analyze determinants of household poverty using binary logit model. 2. Materials and Methods 2.1 Description of the study area The study was conducted in Amhara National Regional State (ANRS) in West Gojam Zone particularly at Yilmana Densa woreda. Yilmana Densa woreda is one of the 13 rural woreda of West Gojam Zone. The study area covered 1018.11km 2 of land and 43 km Northeast of Bahir Dar, the capital of Amhara regional state. The woreda constitute three agro-ecological zones: Dega, Woina Dega and kola. Kola and Dega parts of the woreda are more or less sparsely populated compared to Woina-Dega. The temperature ranges from 15-24 degree centigrade while the rain fall ranges from 1200 – 1600mm. Figure 1: Map of the study area Average annual rainfall of the area is 1437mm from this about 54% of the rainfall occur in July and August months, only 3% fall during the dry months. It is located between at15°37" North Latitude and at 37°25” East Longitude. The study area is one of the most populous areas in the ANRS with a population of 157,213 of which 49.7% are male and 50.3% female. The population of the woreda is predominantly rural with about 94.5 % living in rural and only 5.5% of the people living in urban areas (CSA, 2007). 2.2 Sampling Procedures For the purpose of this study, stratified sampling technique was employed. To capture heterogeneity of the population, 37 kebeles of the study area were stratified based on agro-ecology to get representative samples from each stratum. The stratification process indicated that 6, 14 and 17 were Dega, Kola and Woina-Dega, respectively. From this, a total of 11 (2, 4 and 5) kebeles were selected from the three agro-ecological zones. This is mainly because these kebeles located in each stratum have homogenous characteristics with respect to proximity to each stratum group, with population density, availability of infrastructures and socio economic activities. Next to this, 328 households were allocated to the sample kebeles using probability proportional to sample size. Finally, systematic random sampling was applied to draw sample respondents from each stratum. The sample size would be determined by considering resource constraints and representativeness of the sample. A critical component of 88 Journal of Economics and Sustainable Development www.iiste.org ISSN 2222-1700 (Paper) ISSN 2222-2855 (Online) Vol.9, No.7, 2018 sample size formula developed by Cochran (2007) was used to determine sample households for this study. The formula employed either pilot study results or previous studies result of the same or a similar population. The sample size was decided by using scientific statistical formula adopted from(Fox et al. , 2007). NZ2PQ n 3281 d 2 N 1 Z 2PQ Where: n = the total desired minimum sample size; N = total population (157,213); Z = standardized normal deviation at the required confidence level equals to 1.96; d = allowable error which is equal to 0.05; P = result of previous studies (P=0.69 and Q =1- P = 0.31). 2.3 Sources and method of data collection According to Limb &Dwyer (2001) most of the time qualitative approach is essential for the data gathered through interviews, observations and document analysis. However, qualitative method is criticized because it is too subjective and containing too many
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